If you’re looking for a speaker, please contact me at stephanie@stephaniekirmer.com or visit my SpeakerHub profile.


Speaking Topics

Content Fall/Winter 2021:


Other Topics Available

Data Science/Machine Learning
  • Applications of GPU (single or cluster) for deep learning (PyTorch or Tensorflow/Keras)
  • Using Dask to parallelize machine learning
  • Industry specific applications, such as IIOT, Education, and Hospitality
  • Data science team collaboration with technologies
Data Engineering/Programming
  • Specific data storage technologies: Redshift, PostgreSQL, Elasticsearch
  • Machine learning production workflows using AWS Redshift and Airflow
  • Developing/distributing packages in R or Python
  • Parallelization for Python: Intro to Dask (30-45 min, can be hands-on)
  • R Functions Workshop (2 hours with hands-on)
Data Visualization
  • R: ggplot, shiny, plotly, gganimate
  • Python: plotnine, bokeh, plotly, altair
  • GIS or Network Graphs
Sociological insights on data science, machine learning, and/or AI
  • Democratization of GPU access for machine learning (30-45 min)

Or other topics - please contact me if something adjacent would fit your audience!


Requirements

Aside from my equity and diversity requirements noted below, I’d ask that you give the following information when requesting my presence at an event.


Diversity and Equity

I believe that our personal values should be reflected in our work, so I don’t participate in events where I am the only woman, events with one or fewer people of color on the speaking schedule, or events organized by groups that don’t explicitly support equal opportunity and require respectful conduct from attendees.

There is an abundance of extremely talented women, people of color, and LGBT+ people in the data science industry, and if you are struggling to find them for your event or job opening, please let me know and I may be able to help connect you.



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